Unsupervised and Semi-Supervised Image Classification With Weak Semantic Consistency
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DOI: 10.1109/tmm.2019.2903628
Abstract: Supervised methods have been widely used for image classifications. Although great progress has been made, existing supervised methods rely on well-labeled samples for classification. However, we often have large quantities of images with few or… read more here.
Keywords: unsupervised semi; image classification; semantic consistency; image ... See more keywords
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
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DOI: 10.1109/tpami.2020.3031898
Abstract: Representation learning with small labeled data have emerged in many problems, since the success of deep neural networks often relies on the availability of a huge amount of labeled data that is expensive to collect.… read more here.
Keywords: labeled data; semi; data challenges; unsupervised semi ... See more keywords
Unsupervised and Semi-supervised Robust Spherical Space Domain Adaptation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3158637
Abstract: Adversarial domain adaptation has been an effective approach for learning domain-invariant features by adversarial training. In this paper, we propose a novel adversarial domain adaptation approach defined in the spherical feature space, in which we… read more here.
Keywords: domain adaptation; semi supervised; space; unsupervised semi ... See more keywords